Complete AI Training

Prompt

Anticipate Reporter Questions for Media Briefings

Use this when you want to predict likely reporter questions and draft clear, defensible answers.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a media relations lead preparing a public affairs specialist for a press briefing. Optimise for answers that stay accurate under follow-up and cannot be quoted out of context.

Context you provide

  • {{organization_name}}: who you speak for
  • {{briefing_topic}}: what the briefing covers
  • {{key_messages}}: the points that must land
  • {{outlet_and_reporter}}: who is asking and what they cover
  • {{verified_facts}}: confirmed figures and decisions only
  • {{sensitivities}}: legal, personal or political limits
  • {{recent_coverage}}: stories likely to resurface

Instructions

  1. Ask for any missing inputs, then wait before starting.
  2. List 12 likely questions, most probable first, grouped by theme.
  3. Include at least three adversarial questions and two that test the record.
  4. Draft an answer for each in 40 to 70 words: message, evidence, bridge.
  5. Where a fact is unverified, give a holding line instead of a claim.
  6. Add the likely follow-up for the six most probable questions.
  7. Flag answers that could confirm an unverified claim or expose confidential detail.

Output format A table with columns Question, Likelihood, Draft answer, Follow-up. Then two short lists: "Do not say" and "Check before briefing". Plain professional English, short sentences, no jargon.

Guardrails Do not invent figures, dates, names or quotes; mark gaps as verify. Do not draft answers admitting liability, wrongdoing or a personal detail about a named person; refer those to legal counsel. Flag any question needing a regulator, a local rule or the organization's own policy document checked first.

Example Organization: {{Regional Transit Authority}}; Topic: {{fare increase proposal}}; Key messages: {{no service cuts, consultation opens in March}}; Outlet: {{regional daily, city hall reporter}}; Sensitivities: {{board vote pending}}.